ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_task5_organization

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8829
  • Qwk: 0.2887
  • Mse: 0.8829
  • Rmse: 0.9396

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0222 2 3.8175 -0.0387 3.8175 1.9538
No log 0.0444 4 2.1813 0.0054 2.1813 1.4769
No log 0.0667 6 1.8925 -0.0623 1.8925 1.3757
No log 0.0889 8 1.3147 0.0731 1.3147 1.1466
No log 0.1111 10 1.0633 0.2088 1.0633 1.0311
No log 0.1333 12 1.0369 0.1573 1.0369 1.0183
No log 0.1556 14 1.1284 0.1740 1.1284 1.0623
No log 0.1778 16 1.5292 0.0281 1.5292 1.2366
No log 0.2 18 1.2230 0.1361 1.2230 1.1059
No log 0.2222 20 1.1076 0.1685 1.1076 1.0524
No log 0.2444 22 1.0712 0.2958 1.0712 1.0350
No log 0.2667 24 1.0387 0.3207 1.0387 1.0192
No log 0.2889 26 1.0467 0.3082 1.0467 1.0231
No log 0.3111 28 1.0864 0.2100 1.0864 1.0423
No log 0.3333 30 1.0856 0.2489 1.0856 1.0419
No log 0.3556 32 1.1133 0.1858 1.1133 1.0551
No log 0.3778 34 1.1259 0.1858 1.1259 1.0611
No log 0.4 36 1.2021 0.1352 1.2021 1.0964
No log 0.4222 38 1.1204 0.2100 1.1204 1.0585
No log 0.4444 40 1.1199 0.2489 1.1199 1.0582
No log 0.4667 42 1.0488 0.2981 1.0488 1.0241
No log 0.4889 44 1.0535 0.2318 1.0535 1.0264
No log 0.5111 46 1.1765 0.0790 1.1765 1.0847
No log 0.5333 48 1.1233 0.0790 1.1233 1.0599
No log 0.5556 50 1.0100 0.2466 1.0100 1.0050
No log 0.5778 52 0.9733 0.1613 0.9733 0.9866
No log 0.6 54 1.0028 0.1944 1.0028 1.0014
No log 0.6222 56 1.1252 0.1591 1.1252 1.0608
No log 0.6444 58 1.0463 0.2711 1.0463 1.0229
No log 0.6667 60 0.9803 0.2316 0.9803 0.9901
No log 0.6889 62 0.9736 0.2441 0.9736 0.9867
No log 0.7111 64 0.9916 0.2811 0.9916 0.9958
No log 0.7333 66 1.0368 0.2367 1.0368 1.0182
No log 0.7556 68 0.9805 0.3251 0.9805 0.9902
No log 0.7778 70 0.9639 0.2967 0.9639 0.9818
No log 0.8 72 1.0363 0.2517 1.0363 1.0180
No log 0.8222 74 1.1663 0.1971 1.1663 1.0800
No log 0.8444 76 1.1420 0.1971 1.1420 1.0687
No log 0.8667 78 1.0520 0.2564 1.0520 1.0257
No log 0.8889 80 0.9999 0.2145 0.9999 1.0000
No log 0.9111 82 0.9261 0.2740 0.9261 0.9624
No log 0.9333 84 0.8855 0.3048 0.8855 0.9410
No log 0.9556 86 0.8740 0.3780 0.8740 0.9349
No log 0.9778 88 0.8565 0.3506 0.8565 0.9255
No log 1.0 90 0.8578 0.3963 0.8578 0.9262
No log 1.0222 92 0.8818 0.2746 0.8818 0.9390
No log 1.0444 94 0.9760 0.2697 0.9760 0.9879
No log 1.0667 96 1.0099 0.2140 1.0099 1.0049
No log 1.0889 98 1.3008 0.2023 1.3008 1.1405
No log 1.1111 100 1.6008 0.0295 1.6008 1.2652
No log 1.1333 102 1.4634 0.0135 1.4634 1.2097
No log 1.1556 104 1.0879 0.3243 1.0879 1.0430
No log 1.1778 106 0.9611 0.2517 0.9611 0.9803
No log 1.2 108 0.9316 0.2517 0.9316 0.9652
No log 1.2222 110 0.9779 0.3503 0.9779 0.9889
No log 1.2444 112 1.1130 0.1986 1.1130 1.0550
No log 1.2667 114 1.0636 0.2263 1.0636 1.0313
No log 1.2889 116 0.9835 0.3112 0.9835 0.9917
No log 1.3111 118 0.9737 0.2765 0.9737 0.9868
No log 1.3333 120 0.9337 0.3454 0.9337 0.9663
No log 1.3556 122 1.0348 0.3374 1.0348 1.0172
No log 1.3778 124 0.9323 0.3511 0.9323 0.9656
No log 1.4 126 0.8572 0.4398 0.8572 0.9258
No log 1.4222 128 0.8952 0.4416 0.8952 0.9462
No log 1.4444 130 0.9058 0.3998 0.9058 0.9517
No log 1.4667 132 0.9607 0.3202 0.9607 0.9802
No log 1.4889 134 1.1825 0.3021 1.1825 1.0874
No log 1.5111 136 1.1111 0.3584 1.1111 1.0541
No log 1.5333 138 1.0539 0.2147 1.0539 1.0266
No log 1.5556 140 1.1536 0.2478 1.1535 1.0740
No log 1.5778 142 1.0654 0.2424 1.0654 1.0322
No log 1.6 144 1.0689 0.2102 1.0689 1.0339
No log 1.6222 146 1.0759 0.1775 1.0759 1.0373
No log 1.6444 148 0.9776 0.3033 0.9776 0.9887
No log 1.6667 150 0.9750 0.2667 0.9750 0.9874
No log 1.6889 152 0.9835 0.3129 0.9835 0.9917
No log 1.7111 154 0.9753 0.2842 0.9753 0.9876
No log 1.7333 156 0.9906 0.3175 0.9906 0.9953
No log 1.7556 158 0.9650 0.3314 0.9650 0.9823
No log 1.7778 160 0.9754 0.3779 0.9754 0.9876
No log 1.8 162 0.9900 0.3706 0.9900 0.9950
No log 1.8222 164 1.3007 0.2674 1.3007 1.1405
No log 1.8444 166 1.4796 0.2314 1.4796 1.2164
No log 1.8667 168 1.2389 0.3111 1.2389 1.1131
No log 1.8889 170 1.0397 0.3285 1.0397 1.0197
No log 1.9111 172 1.0662 0.2716 1.0662 1.0326
No log 1.9333 174 1.1370 0.2385 1.1370 1.0663
No log 1.9556 176 1.0822 0.2456 1.0822 1.0403
No log 1.9778 178 1.1248 0.2142 1.1248 1.0606
No log 2.0 180 1.1906 0.1343 1.1906 1.0911
No log 2.0222 182 1.1329 0.1658 1.1329 1.0644
No log 2.0444 184 1.0487 0.2696 1.0487 1.0241
No log 2.0667 186 1.0709 0.2879 1.0709 1.0349
No log 2.0889 188 1.1482 0.1732 1.1482 1.0715
No log 2.1111 190 1.0873 0.2761 1.0873 1.0427
No log 2.1333 192 0.9970 0.3129 0.9970 0.9985
No log 2.1556 194 1.1099 0.2215 1.1099 1.0535
No log 2.1778 196 1.1919 0.2227 1.1919 1.0917
No log 2.2 198 1.1091 0.2331 1.1091 1.0531
No log 2.2222 200 0.9935 0.1849 0.9935 0.9967
No log 2.2444 202 0.9676 0.3139 0.9676 0.9837
No log 2.2667 204 1.0011 0.2764 1.0011 1.0005
No log 2.2889 206 0.9920 0.3139 0.9920 0.9960
No log 2.3111 208 0.9912 0.2214 0.9912 0.9956
No log 2.3333 210 0.9845 0.1629 0.9845 0.9922
No log 2.3556 212 0.9498 0.2818 0.9498 0.9746
No log 2.3778 214 0.9396 0.3693 0.9396 0.9693
No log 2.4 216 0.9074 0.3548 0.9074 0.9526
No log 2.4222 218 0.9122 0.3687 0.9122 0.9551
No log 2.4444 220 1.0407 0.2906 1.0407 1.0201
No log 2.4667 222 1.0104 0.2906 1.0104 1.0052
No log 2.4889 224 0.8649 0.3682 0.8649 0.9300
No log 2.5111 226 0.8629 0.3753 0.8629 0.9289
No log 2.5333 228 0.9002 0.4057 0.9002 0.9488
No log 2.5556 230 0.8231 0.4035 0.8231 0.9072
No log 2.5778 232 0.8677 0.3663 0.8677 0.9315
No log 2.6 234 0.9349 0.3257 0.9349 0.9669
No log 2.6222 236 0.8975 0.3129 0.8975 0.9474
No log 2.6444 238 0.9484 0.3080 0.9484 0.9738
No log 2.6667 240 0.9683 0.3080 0.9683 0.9840
No log 2.6889 242 0.9411 0.3151 0.9411 0.9701
No log 2.7111 244 1.0825 0.3039 1.0825 1.0404
No log 2.7333 246 1.1091 0.3039 1.1091 1.0531
No log 2.7556 248 0.9854 0.3236 0.9854 0.9927
No log 2.7778 250 0.8770 0.3306 0.8770 0.9365
No log 2.8 252 0.8800 0.4259 0.8800 0.9381
No log 2.8222 254 0.8888 0.3757 0.8888 0.9428
No log 2.8444 256 0.8807 0.3859 0.8807 0.9384
No log 2.8667 258 0.9046 0.3840 0.9046 0.9511
No log 2.8889 260 0.9460 0.3243 0.9460 0.9726
No log 2.9111 262 0.9715 0.3103 0.9715 0.9856
No log 2.9333 264 0.9647 0.3124 0.9647 0.9822
No log 2.9556 266 0.9517 0.3124 0.9517 0.9755
No log 2.9778 268 0.9406 0.2456 0.9406 0.9699
No log 3.0 270 0.9420 0.3310 0.9420 0.9705
No log 3.0222 272 0.9374 0.3457 0.9374 0.9682
No log 3.0444 274 0.9290 0.2597 0.9290 0.9639
No log 3.0667 276 0.9640 0.2456 0.9640 0.9818
No log 3.0889 278 1.0241 0.2416 1.0241 1.0120
No log 3.1111 280 1.0206 0.1970 1.0206 1.0102
No log 3.1333 282 0.9586 0.2251 0.9586 0.9791
No log 3.1556 284 0.9614 0.2416 0.9614 0.9805
No log 3.1778 286 0.9634 0.2179 0.9634 0.9815
No log 3.2 288 0.9731 0.2523 0.9731 0.9864
No log 3.2222 290 0.9947 0.2408 0.9947 0.9973
No log 3.2444 292 0.9226 0.3536 0.9226 0.9605
No log 3.2667 294 0.8845 0.3151 0.8845 0.9405
No log 3.2889 296 0.8825 0.3658 0.8825 0.9394
No log 3.3111 298 0.9012 0.3658 0.9012 0.9493
No log 3.3333 300 0.8665 0.3556 0.8665 0.9308
No log 3.3556 302 0.8473 0.3836 0.8473 0.9205
No log 3.3778 304 0.8660 0.4148 0.8660 0.9306
No log 3.4 306 0.8427 0.3713 0.8427 0.9180
No log 3.4222 308 0.8650 0.3556 0.8650 0.9301
No log 3.4444 310 0.8839 0.4075 0.8839 0.9402
No log 3.4667 312 0.8394 0.3859 0.8394 0.9162
No log 3.4889 314 0.8682 0.4976 0.8682 0.9318
No log 3.5111 316 0.8803 0.4984 0.8803 0.9382
No log 3.5333 318 0.8749 0.5089 0.8749 0.9353
No log 3.5556 320 0.8811 0.4853 0.8811 0.9387
No log 3.5778 322 0.8589 0.5089 0.8589 0.9268
No log 3.6 324 0.8471 0.3704 0.8471 0.9204
No log 3.6222 326 0.8517 0.4489 0.8517 0.9229
No log 3.6444 328 0.8777 0.4656 0.8777 0.9369
No log 3.6667 330 0.8371 0.4853 0.8371 0.9149
No log 3.6889 332 0.8189 0.4706 0.8189 0.9049
No log 3.7111 334 0.8380 0.4738 0.8380 0.9154
No log 3.7333 336 1.0008 0.4026 1.0008 1.0004
No log 3.7556 338 1.0953 0.3400 1.0953 1.0466
No log 3.7778 340 0.9800 0.3720 0.9800 0.9899
No log 3.8 342 0.8973 0.3872 0.8973 0.9473
No log 3.8222 344 0.8658 0.3011 0.8658 0.9305
No log 3.8444 346 0.9028 0.2744 0.9028 0.9501
No log 3.8667 348 0.8837 0.2301 0.8837 0.9400
No log 3.8889 350 0.8820 0.4321 0.8820 0.9391
No log 3.9111 352 0.9482 0.4024 0.9482 0.9737
No log 3.9333 354 0.9854 0.4024 0.9854 0.9927
No log 3.9556 356 0.8929 0.4135 0.8929 0.9449
No log 3.9778 358 0.8672 0.3465 0.8672 0.9312
No log 4.0 360 1.0618 0.3810 1.0618 1.0305
No log 4.0222 362 1.2030 0.3152 1.2030 1.0968
No log 4.0444 364 1.1007 0.3663 1.1007 1.0491
No log 4.0667 366 0.8886 0.4174 0.8886 0.9427
No log 4.0889 368 0.8615 0.3793 0.8615 0.9282
No log 4.1111 370 0.9014 0.3641 0.9014 0.9494
No log 4.1333 372 0.8676 0.4109 0.8676 0.9315
No log 4.1556 374 0.8296 0.3564 0.8296 0.9108
No log 4.1778 376 0.8384 0.4321 0.8384 0.9156
No log 4.2 378 0.8581 0.4151 0.8581 0.9264
No log 4.2222 380 0.8685 0.3117 0.8685 0.9319
No log 4.2444 382 0.9113 0.3101 0.9113 0.9546
No log 4.2667 384 0.9284 0.3101 0.9284 0.9635
No log 4.2889 386 0.9043 0.3428 0.9043 0.9510
No log 4.3111 388 0.9236 0.3129 0.9236 0.9610
No log 4.3333 390 1.0195 0.3810 1.0195 1.0097
No log 4.3556 392 1.0323 0.3829 1.0323 1.0160
No log 4.3778 394 0.9432 0.3629 0.9432 0.9712
No log 4.4 396 0.8868 0.3797 0.8868 0.9417
No log 4.4222 398 0.8924 0.2984 0.8924 0.9446
No log 4.4444 400 0.8871 0.3797 0.8871 0.9419
No log 4.4667 402 0.9001 0.4065 0.9001 0.9487
No log 4.4889 404 0.9152 0.2974 0.9152 0.9567
No log 4.5111 406 0.9359 0.3087 0.9359 0.9674
No log 4.5333 408 0.9270 0.3622 0.9270 0.9628
No log 4.5556 410 0.9261 0.2813 0.9261 0.9624
No log 4.5778 412 0.9106 0.3525 0.9106 0.9542
No log 4.6 414 0.8951 0.3496 0.8951 0.9461
No log 4.6222 416 0.8797 0.3078 0.8797 0.9379
No log 4.6444 418 0.8831 0.3793 0.8831 0.9397
No log 4.6667 420 0.8499 0.4180 0.8499 0.9219
No log 4.6889 422 0.8448 0.4180 0.8448 0.9191
No log 4.7111 424 0.8300 0.4180 0.8300 0.9110
No log 4.7333 426 0.8304 0.4180 0.8304 0.9113
No log 4.7556 428 0.8592 0.4198 0.8592 0.9269
No log 4.7778 430 0.9067 0.3428 0.9067 0.9522
No log 4.8 432 0.9466 0.3361 0.9466 0.9729
No log 4.8222 434 0.9393 0.4363 0.9393 0.9692
No log 4.8444 436 0.9433 0.3854 0.9433 0.9712
No log 4.8667 438 0.9653 0.2695 0.9653 0.9825
No log 4.8889 440 0.9986 0.2763 0.9986 0.9993
No log 4.9111 442 1.0321 0.3495 1.0321 1.0159
No log 4.9333 444 1.1120 0.2755 1.1120 1.0545
No log 4.9556 446 1.0784 0.2049 1.0784 1.0384
No log 4.9778 448 1.0274 0.2370 1.0274 1.0136
No log 5.0 450 1.0266 0.2624 1.0266 1.0132
No log 5.0222 452 1.0605 0.3341 1.0605 1.0298
No log 5.0444 454 1.0077 0.3483 1.0077 1.0039
No log 5.0667 456 0.9745 0.2807 0.9745 0.9872
No log 5.0889 458 1.0627 0.2711 1.0627 1.0309
No log 5.1111 460 1.0370 0.3086 1.0370 1.0183
No log 5.1333 462 0.9326 0.3656 0.9326 0.9657
No log 5.1556 464 0.9199 0.3285 0.9199 0.9591
No log 5.1778 466 1.0026 0.3021 1.0026 1.0013
No log 5.2 468 0.9957 0.3021 0.9957 0.9978
No log 5.2222 470 0.9154 0.2432 0.9154 0.9568
No log 5.2444 472 0.8710 0.3569 0.8710 0.9333
No log 5.2667 474 0.8558 0.4303 0.8558 0.9251
No log 5.2889 476 0.8190 0.4381 0.8190 0.9050
No log 5.3111 478 0.7926 0.4381 0.7926 0.8903
No log 5.3333 480 0.7631 0.4626 0.7631 0.8735
No log 5.3556 482 0.7439 0.4626 0.7439 0.8625
No log 5.3778 484 0.7316 0.4810 0.7316 0.8553
No log 5.4 486 0.7321 0.4588 0.7321 0.8556
No log 5.4222 488 0.7208 0.4778 0.7208 0.8490
No log 5.4444 490 0.7503 0.4958 0.7503 0.8662
No log 5.4667 492 0.7938 0.4932 0.7938 0.8910
No log 5.4889 494 0.7644 0.5416 0.7644 0.8743
No log 5.5111 496 0.7220 0.5871 0.7220 0.8497
No log 5.5333 498 0.7942 0.4545 0.7942 0.8912
0.3702 5.5556 500 0.8146 0.4087 0.8146 0.9026
0.3702 5.5778 502 0.7557 0.4498 0.7557 0.8693
0.3702 5.6 504 0.7508 0.5810 0.7508 0.8665
0.3702 5.6222 506 0.8726 0.5014 0.8726 0.9342
0.3702 5.6444 508 0.8873 0.4789 0.8873 0.9419
0.3702 5.6667 510 0.8388 0.4361 0.8388 0.9158
0.3702 5.6889 512 0.8262 0.4216 0.8262 0.9089
0.3702 5.7111 514 0.7859 0.5025 0.7859 0.8865
0.3702 5.7333 516 0.7571 0.5614 0.7571 0.8701
0.3702 5.7556 518 0.7512 0.5614 0.7512 0.8667
0.3702 5.7778 520 0.7749 0.5331 0.7749 0.8803
0.3702 5.8 522 0.8071 0.4466 0.8071 0.8984
0.3702 5.8222 524 0.8017 0.4198 0.8017 0.8954
0.3702 5.8444 526 0.7815 0.3323 0.7815 0.8840
0.3702 5.8667 528 0.7910 0.3733 0.7910 0.8894
0.3702 5.8889 530 0.8088 0.4724 0.8088 0.8993
0.3702 5.9111 532 0.7930 0.4590 0.7930 0.8905
0.3702 5.9333 534 0.7810 0.4398 0.7810 0.8837
0.3702 5.9556 536 0.7749 0.4251 0.7749 0.8803
0.3702 5.9778 538 0.7759 0.4216 0.7759 0.8808
0.3702 6.0 540 0.8001 0.4712 0.8001 0.8945
0.3702 6.0222 542 0.8043 0.5157 0.8043 0.8968
0.3702 6.0444 544 0.7637 0.4847 0.7637 0.8739
0.3702 6.0667 546 0.7658 0.4461 0.7658 0.8751
0.3702 6.0889 548 0.8131 0.4039 0.8131 0.9017
0.3702 6.1111 550 0.8218 0.4555 0.8218 0.9065
0.3702 6.1333 552 0.7665 0.4444 0.7665 0.8755
0.3702 6.1556 554 0.7368 0.5363 0.7368 0.8584
0.3702 6.1778 556 0.7287 0.5127 0.7287 0.8536
0.3702 6.2 558 0.7417 0.4960 0.7417 0.8612
0.3702 6.2222 560 0.7800 0.4639 0.7800 0.8832
0.3702 6.2444 562 0.7386 0.5446 0.7386 0.8594
0.3702 6.2667 564 0.7417 0.5040 0.7417 0.8612
0.3702 6.2889 566 0.8131 0.3940 0.8131 0.9017
0.3702 6.3111 568 0.8683 0.3161 0.8683 0.9318
0.3702 6.3333 570 0.8630 0.2887 0.8630 0.9290
0.3702 6.3556 572 0.8458 0.3194 0.8458 0.9197
0.3702 6.3778 574 0.8666 0.4489 0.8666 0.9309
0.3702 6.4 576 0.8885 0.4396 0.8885 0.9426
0.3702 6.4222 578 0.9031 0.4039 0.9031 0.9503
0.3702 6.4444 580 0.8624 0.4087 0.8624 0.9287
0.3702 6.4667 582 0.8507 0.3760 0.8507 0.9223
0.3702 6.4889 584 0.8798 0.3551 0.8798 0.9380
0.3702 6.5111 586 0.8829 0.2887 0.8829 0.9396

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
3
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_task5_organization

Finetuned
(4040)
this model